INFLUENCE OF THE CATCHMENT DISCRETIZATION ON THE OPTIMIZATION OF RUNOFF-EROSION MODELLING
In this application-based study, the influence of the catchment discretization on the optimization of runoff-erosion modeling using a particle swarm optimization to a physically-based erosion model named WESP (Watershed Erosion Simulation Program) is conducted. This study is carried in the semiarid...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Paraiba
2011-12-01
|
Series: | Journal of Urban and Environmental Engineering |
Subjects: | |
Online Access: | http://periodicos.ufpb.br/ojs2/index.php/juee/article/viewFile/11887/6952 |
id |
doaj-5a35a800d7304f77849294b5cdfd47cb |
---|---|
record_format |
Article |
spelling |
doaj-5a35a800d7304f77849294b5cdfd47cb2020-11-24T23:09:11ZengUniversity of ParaibaJournal of Urban and Environmental Engineering1982-39322011-12-015291102INFLUENCE OF THE CATCHMENT DISCRETIZATION ON THE OPTIMIZATION OF RUNOFF-EROSION MODELLINGCelso Augusto Guimarães SantosPaula Karenina de Macedo Machado FreireRicharde Marques SilvaPetley de Medeiros ArrudaSudhanshu K. MishraIn this application-based study, the influence of the catchment discretization on the optimization of runoff-erosion modeling using a particle swarm optimization to a physically-based erosion model named WESP (Watershed Erosion Simulation Program) is conducted. This study is carried in the semiarid region of Brazil, more precisely in a micro-catchment (MCN3) of Sumé Experimental Basin. A comparative assessment is done by statistical analysis and mean relative error (MRE) in order to evaluate the performance of the optimization technique when discretizing the catchment in different ways. Thus, the catchment is represented in three ways of discretization (i.e., n1 = 4 elements, n2 = 10 elements and n3 = 23 elements). The difficulties involved in calibration of physically-based erosion models have been partly attributable to the lack of robust optimization tools, hence several robust optimization techniques have been proposed in the past years; however, the way the catchment is represented could interfere on the results. Thus, this paper presents the essential concepts of the runoff-erosion WESP model, the global optimization method known as Repulsive Particle Swarm (RPS), and the optimization results using the three catchment discretization. The results show that there are small differences among the calculated sediment yield using the three ways of basin discretization, although the 23 elements division seems to give the best results.http://periodicos.ufpb.br/ojs2/index.php/juee/article/viewFile/11887/6952Discretizationoptimizationrunoff-erosion modelingsemiarid area |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Celso Augusto Guimarães Santos Paula Karenina de Macedo Machado Freire Richarde Marques Silva Petley de Medeiros Arruda Sudhanshu K. Mishra |
spellingShingle |
Celso Augusto Guimarães Santos Paula Karenina de Macedo Machado Freire Richarde Marques Silva Petley de Medeiros Arruda Sudhanshu K. Mishra INFLUENCE OF THE CATCHMENT DISCRETIZATION ON THE OPTIMIZATION OF RUNOFF-EROSION MODELLING Journal of Urban and Environmental Engineering Discretization optimization runoff-erosion modeling semiarid area |
author_facet |
Celso Augusto Guimarães Santos Paula Karenina de Macedo Machado Freire Richarde Marques Silva Petley de Medeiros Arruda Sudhanshu K. Mishra |
author_sort |
Celso Augusto Guimarães Santos |
title |
INFLUENCE OF THE CATCHMENT DISCRETIZATION ON THE OPTIMIZATION OF RUNOFF-EROSION MODELLING |
title_short |
INFLUENCE OF THE CATCHMENT DISCRETIZATION ON THE OPTIMIZATION OF RUNOFF-EROSION MODELLING |
title_full |
INFLUENCE OF THE CATCHMENT DISCRETIZATION ON THE OPTIMIZATION OF RUNOFF-EROSION MODELLING |
title_fullStr |
INFLUENCE OF THE CATCHMENT DISCRETIZATION ON THE OPTIMIZATION OF RUNOFF-EROSION MODELLING |
title_full_unstemmed |
INFLUENCE OF THE CATCHMENT DISCRETIZATION ON THE OPTIMIZATION OF RUNOFF-EROSION MODELLING |
title_sort |
influence of the catchment discretization on the optimization of runoff-erosion modelling |
publisher |
University of Paraiba |
series |
Journal of Urban and Environmental Engineering |
issn |
1982-3932 |
publishDate |
2011-12-01 |
description |
In this application-based study, the influence of the catchment discretization on the optimization of runoff-erosion modeling using a particle swarm optimization to a physically-based erosion model named WESP (Watershed Erosion Simulation Program) is conducted. This study is carried in the semiarid region of Brazil, more precisely in a micro-catchment (MCN3) of Sumé Experimental Basin. A comparative assessment is done by statistical analysis and mean relative error (MRE) in order to evaluate the performance of the optimization technique when discretizing the catchment in different ways. Thus, the catchment is represented in three ways of discretization (i.e., n1 = 4 elements, n2 = 10 elements and n3 = 23 elements). The difficulties involved in calibration of physically-based erosion models have been partly attributable to the lack of robust optimization tools, hence several robust optimization techniques have been proposed in the past years; however, the way the catchment is represented could interfere on the results. Thus, this paper presents the essential concepts of the runoff-erosion WESP model, the global optimization method known as Repulsive Particle Swarm (RPS), and the optimization results using the three catchment discretization. The results show that there are small differences among the calculated sediment yield using the three ways of basin discretization, although the 23 elements division seems to give the best results. |
topic |
Discretization optimization runoff-erosion modeling semiarid area |
url |
http://periodicos.ufpb.br/ojs2/index.php/juee/article/viewFile/11887/6952 |
work_keys_str_mv |
AT celsoaugustoguimaraessantos influenceofthecatchmentdiscretizationontheoptimizationofrunofferosionmodelling AT paulakareninademacedomachadofreire influenceofthecatchmentdiscretizationontheoptimizationofrunofferosionmodelling AT richardemarquessilva influenceofthecatchmentdiscretizationontheoptimizationofrunofferosionmodelling AT petleydemedeirosarruda influenceofthecatchmentdiscretizationontheoptimizationofrunofferosionmodelling AT sudhanshukmishra influenceofthecatchmentdiscretizationontheoptimizationofrunofferosionmodelling |
_version_ |
1725611032931467264 |